Inside a one-quarter overhead audit that pulled a five-person data team back from 67% firefighting.
The Hidden Cost of Maintenance Drag
Most data teams plan for 40% new-build capacity and end the sprint with 33%.
The gap isn't laziness. It's overhead nobody measures or budgets for.
Until the audit makes it concrete, the team keeps paying rent.
The CTO logged four weeks of time across eight categories and built the baseline.
Three changes, observability, catalog, and structured intake, replaced the three biggest sources of drag.
The Result: 67% overhead dropped to 27%, and Q2 shipped seven of five planned products.
Four weeks of category tracking exposes the real mix.
Observability, catalog, and intake fix the highest-cost overhead categories.
A quarter is short enough to commit, long enough to prove.
From Firefighting to Building
Teams that run the audit ship more, hire less, and lose fewer engineers.
Recovered capacity compounds. Each quarter without the fix costs another quarter of product.
Logiciel's Overhead Audit runs the diagnostic, picks the three levers, and delivers the sprint plan in days.
CTOs and VPs of Engineering whose data teams feel under-staffed but new hires keep getting absorbed into maintenance. Also useful for CFOs benchmarking delayed infrastructure cost.
The team logged time across eight categories for four weeks. The average produced the 67% number.
Any time not spent on roadmap work, including maintenance, incidents, schema fixes, connector issues, ad hoc requests, and meetings.
